Fully synthetic neuroimaging data for replication and exploration

Scientific transparency, data exploration, and education are advanced through data sharing. However, risk for disclosure of personal information and institutional data sharing regulations can impede human subject/patient data sharing and thus limit open science initiatives. Sharing fully synthetic d...

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Detalles Bibliográficos
Autores principales: Vaden, Kenneth I., Gebregziabher, Mulugeta, Eckert, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688496/
https://www.ncbi.nlm.nih.gov/pubmed/32828925
http://dx.doi.org/10.1016/j.neuroimage.2020.117284

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688496/
https://www.ncbi.nlm.nih.gov/pubmed/32828925
http://dx.doi.org/10.1016/j.neuroimage.2020.117284

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